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Record W4376058134 · doi:10.24908/lhps.v1i1.15470

Who Tells Your Story

2022· article· en· W4376058134 on OpenAlexaff
Sofia Stocco

Bibliographic record

VenueLiving Histories A Past Studies Journal · 2022
Typearticle
Languageen
FieldArts and Humanities
TopicTheater, Performance, and Music History
Canadian institutionsWestern University
Fundersnot available
KeywordsMasculinityWhite (mutation)ReactionaryMusicalAestheticsPopular cultureSociologyGender studiesHistoryArtLiteraturePoliticsLawPolitical science

Abstract

fetched live from OpenAlex

Debuting in 2015, Lin-Manuel Miranda’s Broadway musical Hamilton was an instant success because of its unique interpretation of American history. The historical alteration that has made Hamilton so popular is the casting of America’s founding fathers all as men of color. All actors, with the exception of two, are people of colour, which makes Hamilton a welcome display of diversity on the Broadway stage. This modern casting choice has caught the attention of many critics, raising questions concerning the nature of artistic works versus historical works. This racially diverse casting choice is not accidental, and yet the same attention to diversity is not given to the play’s characters and plot. The visual diversity on stage conceals the fact that Hamilton is another example of the glorification of white men that simultaneously erases the presence and struggles of people of colour throughout American history. While the hip hop culture that structures the musical may appear to engage with a more diverse America, Hamilton is still using a concept of colored culture that is a form of reactionary masculinity to toxic Euro-American gender standards; the modern rap masculinity on stage is the same toxic masculinity as the oppressive white masculinity in history. The racially diverse cast and music that appear forward-thinking only conceal that Hamilton is yet another celebration of exclusively white American history that promotes the Euro-American construct of domineering masculinity.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.417
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0080.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0040.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.046
GPT teacher head0.240
Teacher spread0.194 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2022
Admission routes1
Has abstractyes

Explore more

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